Evidence map›Paper›PMID 37567899›Full record

ArticleScientific reports2023

How level of understanding and type of used sources relate to adherence to COVID-19 public health measures in Canada.

Clémentine Courdi, Sahar Ramazan Ali, Mathieu Pelletier-Dumas, Dietlind Stolle, Anna Dorfman, Jean-Marc Lina, Éric Lacourse, Roxane de la Sablonnière

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Clémentine CourdiDepartment of Sociology, Université de Montréal, Montreal, Canada.
Sahar Ramazan AliDepartment of Psychology, Université de Montréal, Montreal, Canada.
Mathieu Pelletier-DumasDepartment of Psychology, Université de Montréal, Montreal, Canada.
Dietlind StolleDepartment of Political Science, McGill University, Quebec, Canada.
Anna DorfmanDepartement of Psychology, Bar Ilan University, Ramat Gan, Israel.
Jean-Marc LinaDepartement of Electrical Engineering, École de Technologie Supérieure, Montreal, Canada.
Éric LacourseDepartment of Sociology, Université de Montréal, Montreal, Canada. eric.lacourse@umontreal.ca.
Roxane de la SablonnièreDepartment of Psychology, Université de Montréal, Montreal, Canada.
Université de Montréal · CABar-Ilan University · ILÉcole de Technologie Supérieure · CAMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have highlighted the importance of promoting health literacy and minimizing misinformation to encourage higher adherence to key public health measures during the COVID-19 pandemic. This study explores how one's self-reported understanding of information and types of sources used to get information regarding COVID-19 can hinder adherence to public health measures implemented by the Canadian government. Data was collected following a longitudinal design of 11 time points for April 2020 to April 2021. The sub-sample used for this study included 2659 Canadians who completed the survey for at least four time points. Using Latent Class Growth Analysis, we modelled typical trajectories of adherence to three key public health measures: staying home, social distancing and mask wearing. Overall, a lower level of understanding was associated with lower adherence trajectories to public health measures, and vice-versa. Adjusted odds ratio (AOR) showed that the higher the level of understanding, the higher were the chances of following a high adherence trajectory. The type of used sources also showed a significant statistical association with adherence trajectories for social distancing and staying home (AOR: between 1.1 and 3.4). These results are discussed considering future policy implications.

Indexed as

COVID-19CanadaHumansPandemicsPublic HealthSelf ReportSurveys and Questionnaires

Identifiers

PMID37567899
PMCPMC10421852
OpenAlexW4385762461

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.